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# Kimi K3 Is Here: Efficient Day-0 Support on vLLM

**[vLLM](https://daily.dev/sources/vllm)** · 22 min read · 3 upvotes · 0 comments

## Summary

vLLM announces day-0 production support for Kimi K3, Moonshot AI's 2.8-trillion-parameter Mixture-of-Experts model with a 1M-token context window and native vision. Key highlights include: DSpark speculative decoding achieving 370 tok/s (3.14× speedup) on 16 NVIDIA GB300 GPUs; a redesigned hybrid prefix caching system that manages both recurrent KDA state and paged KV blocks; prefill/decode disaggregation with NIXL for large-scale deployments; sequence parallelism with custom reduce-scatter/all-gather kernels 1.7×–4.5× faster than NCCL; and multiple fused CUDA/Triton kernels for KDA decode, attention residuals, and LatentMoE tail fusion. The post covers architecture adaptations, deployment tips, benchmark results (0.976 GSM8K, 0.939 GPQA-Diamond), and a roadmap including Decode Context Parallelism and RL training support. NVIDIA Hopper/Blackwell and AMD MI355X are supported at launch.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://vllm.ai/blog/2026-07-27-k3>

---

Tags: [#ai-inference](https://daily.dev/tags/ai-inference), [#vllm](https://daily.dev/tags/vllm), [#mixture-of-experts](https://daily.dev/tags/mixture-of-experts), [#kimi-k3](https://daily.dev/tags/kimi-k3)

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